Neuro-muscular and musculoskeletal disorders and injuries highly affect the life style and the motion abilities of an individual. This brief highlights a systematic method for detection of the level of muscle power declining in musculoskeletal and Neuro-muscular disorders. The neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and modeling purposes. The neuro-fuzzy classifier is validated in comparison to some other well-known classifiers in classification of the recorded EMG signals with the three states of contractions corresponding to the extracted features. Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used.
| Autorius: | Vinit Kumar Gunjan, Bita Mokhlesabadifarahani, |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2015 |
| Knygos puslapių skaičius: | 52 |
| ISBN-10: | 9812873198 |
| ISBN-13: | 9789812873194 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Criminal investigation and detection |
Parašykite atsiliepimą apie „EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction“
